یہ کمپنی اب اس نوکری کیلیۓ مزید سی ویزنہیں لے رہی۔

Consultant - Quantitative Risk Management

Effective Corporate Solutions

اکتوبر ۰۹, ۲۰۱۸ شائع ہوئی 3 نے دیکھا

Job Description

Effective Corporate Solutions (ECS) is hiring talented young people for the development of state of art, end to end stress testing tool for international banking sector

About Us

ECS was founded in early 2017. The company is registered in Pakistan with its office in Lahore and a sister concern in UK.

ECS has two lines of business:

a. AATS – development of Advanced Analytics Technology Solutions for financial institutions (banks, insurance companies and asset managers), especially in the area of risk management

b. FITS (Financial Institutions Technology Support) – provision of consulting, technology and HR services for financial institutions.

In the first phase, AATS is focused on the development of a comprehensive stress testing solution for banks. Development started in late 2016 and is ongoing. The goal is to complete product development by the end of 2019. Subsequent phases will focus on other aspects of risk management and advanced analytics.

Stress testing is a very comprehensive risk management tool and it is a regulatory requirement in many countries. It brings together many aspects of risk management and financial planning. In essence stress testing requires the forecasting of a financial institution’s financial statements and regulatory metrics in severe macroeconomic or other stress scenarios.

ECS offers

Challenging, friendly & professional environment with plenty of learning of opportunities in risk management and banking.
Work with industry piloting technologies &
Opportunity to grow with the company.

About the Role

Title: Consultant - Quantitative Risk Management

Job Objective: Design and implementation of statistical models (in financial and regulatory reporting)

Main Responsibilities

Build a test library of models from examples provided in a software package
Finding relevant datasets in the public domain
Creation of mock data where public information is not available
Development of statistical models to quantify relationships between macroeconomic and relevant financial variables, eg GDP vs default rates, exchange rate vs cost of equipment, etc
Writing clear documentation that describes development and validation for each model, including details of tests conducted
Systematic building of proprietary model library.

Not a must but good to develop an understanding of:
· Regulatory reporting requirements for banks across geographies (Pakistan, UK, Europe, US) via Pillar 3 reports and submissions to the regulator (where available). This will include templates such as CAR of SBP, COREP, CCAR, etc.

· Stress testing requirements of central banks,

· Financial reporting requirements in the medical device industry.

About You

Education: MSc or PhD in Statistics (or Probability Theory).

Experience: To be successful in this role, you will ideally bring the following:

Minimum 3 years of work experience using statistics (in a government, educational or private institution)
Work experience needs to include use of statistical software packages.

Required skills

Sound knowledge of statistics and underlying probability theory
Familiarity with statistical software packages is a must (eg R, Splus, SPSS, SAS, Stata)
R is the preferred choice (but not a must), including development experience in RStudio
Familiarity with programming languages is desirable (Python, Java, C, C++)
Good R&D skills
Good communication skills
Desire to increase knowledge and learn new skills
Understanding of risk management and financial capital planning and stress testing (desirable)